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Position Summary: Assist students in computer programming and mathematical analysis related to computational models of brain function. Provide brief instrumental lectures on Matlab and Python
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pen-and-paper calculations and coding using either Python or Mathematica are essential. Experience with a computer algebra system such as Mathematica is an advantage. We are also looking for good
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Technology Computer science Information science Engineering Researcher Profile Leading Researcher (R4) Application Deadline 2 Oct 2026 - 23:59 (UTC) Country Japan Type of Contract Permanent Job Status Not
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Subjects: (Faculty members are required to teach about 6 subjects, excluding ‘Project I & II’ and ‘Undergraduate Thesis’.) Linear Algebra I & II, Elementary Programming, Introduction to Computer Science
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classroom, and university service. The successful candidates must have demonstrated experience in teaching lower-level courses in Mathematics (Introductory Algebra, Introduction to Statistics, College
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willingness and ability to learn new computer skills, including Microsoft Office (Word and Excel), communication software and CAS (Computer Algebra Systems), html programming to maintain the department
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calculations and coding using either Python or Mathematica are essential. Experience with a computer algebra system such as Mathematica is an advantage. We are also looking for good written and verbal
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17 Sep 2026 Job Information Organisation/Company University of Innsbruck Department Faculty of Mathematics, Computer Science and Physics Research Field Mathematics Researcher Profile Recognised
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Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH | Barcelona, Cataluna | Spain | 21 days ago
25 Sep 2026 Job Information Organisation/Company Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH Research Field Engineering » Computer engineering Engineering » Communication engineering
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Max Planck Institute of Molecular Cell Biology and Genetics | Dresden, Sachsen | Germany | about 4 hours ago
Applied Algebraic Geometry * Computer Algebra * Data Science / Mathematics of Data * Dynamical Systems and Differential Equations * Information Geometry * Higher Structures and Category Theory * Fluid